38 citations · 46 across the 10 of their papers we have counts for
5 papers · 1 filter
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach
Ruijie Du, Deepan Muthirayan, Pramod P. Khargonekar +1
Machine learning (ML) has demonstrated remarkable capabilities across many real-world systems, from predictive modeling to intelligent automation. However, the widespread integrati…
Online Learning for Incentive-Based Demand Response
Deepan Muthirayan, Pramod P. Khargonekar
In this paper, we consider the problem of learning online to manage Demand Response (DR) resources. A typical DR mechanism requires the DR manager to assign a baseline to the parti…
Online Convex Optimization with Long Term Constraints for Predictable Sequences
Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar
In this paper, we investigate the framework of Online Convex Optimization (OCO) for online learning. OCO offers a very powerful online learning framework for many applications. In…
Graph Learning for Cognitive Digital Twins in Manufacturing Systems
Trier Mortlock, Deepan Muthirayan, Shih-Yuan Yu +2
Future manufacturing requires complex systems that connect simulation platforms and virtualization with physical data from industrial processes. Digital twins incorporate a physica…
Fast SVM training using approximate extreme points
Manu Nandan, Pramod P. Khargonekar, Sachin S. Talathi
Applications of non-linear kernel Support Vector Machines (SVMs) to large datasets is seriously hampered by its excessive training time. We propose a modification, called the appro…